A - Papers appearing in refereed journals
Helps, J. C., Paveley, N. D., White, S. and Van Den Bosch, F. 2020. Determinants of optimal insecticide resistance management strategies. Journal of Theoretical Biology. 503, p. 110383. https://doi.org/10.1016/j.jtbi.2020.110383
Authors | Helps, J. C., Paveley, N. D., White, S. and Van Den Bosch, F. |
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Abstract | The use of insecticides to control agricultural pests has resulted in resistance developing to most known insecticidal modes of action. Strategies by which resistance can be slowed are necessary to prolong the effectiveness of the remaining modes of action. Here we use a flexible mathematical model of resistance evolution to compare four insecticide application strategies: (i) applying one insecticide until failure, then switching to a second insecticide (sequential application), (ii) mixing two insecticides at their full label doses, (iii) rotating (alternating) two insecticides at full label dose, or (iv) mixing two insecticides at a reduced dose (with each mixture component at half the full label dose). The model represents target-site resistance. |
Keywords | Insecticide mixtures; Simulation model; Target-site resistance |
Year of Publication | 2020 |
Journal | Journal of Theoretical Biology |
Journal citation | 503, p. 110383 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jtbi.2020.110383 |
Open access | Published as green open access |
Funder | Chemicals Regulation Directorate (CRD) of the Health and Safety Directorate |
Agriculture and Horticulture Development Board | |
Accepted author manuscript | |
Supplemental file | |
Output status | Published |
Publication dates | |
Online | 20 Jun 2020 |
Publication process dates | |
Accepted | 16 Jun 2020 |
Publisher | Academic Press Ltd- Elsevier Science Ltd |
ISSN | 0022-5193 |
Permalink - https://repository.rothamsted.ac.uk/item/97zw4/determinants-of-optimal-insecticide-resistance-management-strategies
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